Research And Implement Of Energy-saving Operation And Fault Diagnosis Of Central Air-condition Based On Artificial Intelligence And Expert Systems

Energy-saving and reduction of greenhouse gas emissions have gained great importance with the vigorous development of the national economy and the increasing demands for energy. How to reduce energy consumption and increase energy utilization effectively are important issues for sustainable economic development of our country.The central air-conditioning system has the largest share of the energy consumption of city buildings. According to relevant statistics, the central air-conditioning system accounts for 40% -50% of the total energy consumption of buildings, hence the main energy consuming source of urban buildings. In order to reduce the energy consumption of the central air-conditioning system, in the present research, which combines actual research programs and adopts advancing control algorithms, we have developed the central air-conditioning energy saving operation system and the fault diagnosis system which are based on artificial intelligence and expert systems.The thesis includes the following contents:â‘ It introduces the history of the energy-saving operation system and the fault diagnosis system of central air-conditioning and the current foreign and domestic situations, analyses the energy consumption of central air-conditioning and establishes energy-saving techno-framework and target system based on equipment running.â‘¡It introduces the designing, assembling and running of the computer-based energy-saving system and fault diagnosis system of central air-conditioning. After two years of operation, all the equipment is in good condition, and also reaches the expected goal of saving energy and self-diagnosing.â‘¢Using innovative means of control to deal with non-linear and serious delay problems of the central air-conditioning system is an innovative point of this doctoral thesis. The idea of an advanced arithmetic based on non-linear predictive function control and SMITH estimate-calculation in the running control of the central air-conditioning is put forward. The programming and the application of the control software in the actual system has completely reached the expected aim. The counting of the actual operation shows it reduces the use of electricity by over 30%, so it can produce remarkable economic benefits.â‘£The paper's second innovation, combined with the research projects issued by the Chongqing Municipal Construction Committee, and aiming at the actual condition of central air-conditioning in running, is the systematic programming of an expert database of the central air-conditioning problems in operation and the successful establishing of the fault self-diagnosis system. The system can show the running condition, forecast faults, analyze reasons and prompt treatments, etc. Operation practices show that it can prevent serious accidents, prolong effective using time and the life of equipment after actual running. The expert database system has been assessed as nationally leading and received the Third Prize of The Progress of Science and Technology of the Chongqing Municipality in 2006.Practice has proved that the technique of the central air-conditioning energy-saving operation and fault diagnosis based on artificial intelligence and expert system can reduce the central air-condition energy consumption, and improve the operation quality, increase the effective operation time, prevent serious accidents, etc. It has considerable spreading value.